The table below provides summary statistics for permanent job vacancies with an option to work from home (WFH) and a requirement for Numerical Analysis skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Numerical Analysis over the 6 months to 17 May 2024 with a comparison to the same period in the previous 2 years.
Numerical Analysis is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies with a WFH option and a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
30,859
38,849
68,120
As % of all permanent jobs with a WFH option
91.22%
96.05%
97.04%
Number of salaries quoted
23,373
27,016
41,283
10th Percentile
£33,750
£37,500
£36,250
25th Percentile
£42,500
£47,500
£46,000
Median annual salary (50th Percentile)
£57,500
£62,500
£60,000
Median % change year-on-year
-8.00%
+4.17%
+9.09%
75th Percentile
£75,000
£82,500
£80,000
90th Percentile
£95,000
£100,000
£95,000
UK median annual salary
£55,000
£61,000
£60,000
% change year-on-year
-9.84%
+1.67%
+9.09%
Numerical Analysis Trend for Jobs with a WFH Option
Job vacancies with a work from home option citing Numerical Analysis as a proportion of all IT jobs advertised.
Numerical Analysis Salary Trend for Jobs with a WFH Option
3-month moving average salary quoted in job vacancies with a work from home option citing Numerical Analysis.
Numerical Analysis Top 22 Co-occurring Skills and Capabilities in Job Vacancies with WFH Options
For the 6 months to 17 May 2024, Numerical Analysis job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent jobs with remote work options and a requirement for Numerical Analysis.
Numerical Analysis Co-occurring Skills and Capabilities with WFH Options by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
